Director – Data Architect – Azure DatabricksOur client, a leading organization in the industry, is seeking a passionate and innovative Director – Data Architect – Azure Databricks to join their Data & Analytics leadership team. This is a permanent, onsite role in Richmond, Virginia, where you will play a critical role in shaping enterprise-wide data, analytics, and AI strategy.As a key architectural leader, you will define and evolve a modern, Databricks-centric data and AI architecture supporting customer, consumer, manufacturing, and supply chain domains. The ideal candidate brings strong strategic thinking, executive-level communication, and a collaborative mindset to drive cloud-native adoption and AI-enabled business outcomes.Job Title: Director – Data Architect – Azure DatabricksLocation: Onsite – Richmond, VirginiaCompensation: $195K base salaryWhat You'll DoDefine and maintain enterprise data architecture principles, reference architectures, and future-state roadmaps with a strong focus on Databricks and AI enablementDesign end-to-end data and AI architectures, including ingestion, lakehouse storage, processing, analytics, machine learning, and generative AI workflowsPartner closely with business, analytics, and technology leaders to translate strategic objectives into scalable, Databricks-based data and AI solutionsLead evaluation, selection, and adoption of cloud-based data, analytics, and AI technologies, with Databricks as the core platformDesign architectures that support secure, resilient, and high-performance AI and analytics workloads at enterprise scaleIdentify and implement automation opportunities across data pipelines, ML workflows, and AI production deploymentsIntroduce emerging technologies and innovative architectural patterns to accelerate AI-driven business outcomesDefine and implement enterprise AI and advanced analytics architectures, including hands-on exposure to ML platforms, MLOps pipelines, feature engineering, and model deploymentApply AI solutions across domains such as demand planning and forecasting, customer insights, intelligent manufacturing, and supply chain optimizationWhat's NeededBachelor's or Master's degree in Computer Science, Engineering, or a related field12–16+ years of experience in enterprise data architecture and large-scale data platformsDeep domain experience within customer, manufacturing, or supply chain data ecosystemsProven ability to lead enterprise data and AI architecture initiatives and influence senior technical and business stakeholdersStrong communication skills with the ability to articulate complex data and AI concepts to executive leadershipRelevant architecture certifications preferred (e.g., TOGAF 9, IAF, or equivalent)What's in It for YouOpportunity to work on cutting-edge AI, GenAI, and advanced analytics initiativesInfluence enterprise-wide data and AI strategy within a forward-thinking organizationCollaborate with a highly skilled, innovative leadership teamEngage in high-impact projects driving measurable business transformationCompetitive compensation aligned with experience and leadership scope